Five capabilities, one approach: technology that's built to move your business forward.
We help you find where AI genuinely moves the needle inside the systems and teams you already have, then build it: evaluating use cases and data readiness, embedding models into live workflows, and putting the monitoring and guardrails in place to keep them trustworthy in production. Where off-the-shelf tools fall short, we build custom models and accelerators designed around your specific operational and management needs.
End-to-end product engineering — architecture, design, development and testing — built on DevOps and SRE foundations from day one, so what we ship stays maintainable and reliable long after launch, not just at handover.
We assess, migrate and modernise applications and infrastructure across AWS, Azure, Google Cloud and other hyperscalers, redesigning for cost, scalability and resilience rather than a like-for-like lift-and-shift.
Practical site reliability engineering — service level objectives, error budgets, observability, incident response and chaos testing — so reliability is something your teams design for, not something they react to. Radush brings digital reliability to this work: legacy service management only tells you a ticket is closed, while digital reliability shows how the work was done and what it went through.
We bring visibility and accountability to cloud spend: rightsizing, forecasting and governance practices that turn cloud cost from a monthly surprise into a managed, predictable part of the business.